Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Jyh-Jing Hwang"'
Autor:
Jyh-Jing Hwang, 黃至敬
101
Thanks to the ceaseless driving force of the Moore''s law, intelligent visual data analytics which could be done only with gigantic mainframe computers has now started to penetrate into our daily lives. As we are moving toward the future vis
Thanks to the ceaseless driving force of the Moore''s law, intelligent visual data analytics which could be done only with gigantic mainframe computers has now started to penetrate into our daily lives. As we are moving toward the future vis
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/52313463883705582421
Autor:
Jyh-Jing Hwang, Henrik Kretzschmar, Joshua Manela, Sean Rafferty, Nicholas Armstrong-Crews, Tiffany Chen, Dragomir Anguelov
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031198380
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b3a08eb3846fcf910cbc70d2bdf47bb
https://doi.org/10.1007/978-3-031-19839-7_23
https://doi.org/10.1007/978-3-031-19839-7_23
Unsupervised semantic segmentation aims to discover groupings within and across images that capture object and view-invariance of a category without external supervision. Grouping naturally has levels of granularity, creating ambiguity in unsupervise
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c1bc0897865f644699598e1cc9d5c3c
Publikováno v:
Multimedia Understanding with Less Labeling on Multimedia Understanding with Less Labeling.
Real-world visual recognition is far more complex than object recognition; there is stuff without distinctive shape or appearance, and the same object appearing in different contexts calls for different actions. While we need context-aware visual rec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a663e02d0c0dd5728970856df14011d
https://doi.org/10.1145/3476098.3485056
https://doi.org/10.1145/3476098.3485056
Autor:
Tien-Ju Yang, Maxwell D. Collins, Jianbo Shi, Xiao Zhang, Liang-Chieh Chen, Jyh-Jing Hwang, Stella X. Yu
Publikováno v:
ICCV
Almost all existing deep learning approaches for semantic segmentation tackle this task as a pixel-wise classification problem. Yet humans understand a scene not in terms of pixels, but by decomposing it into perceptual groups and structures that are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9db131833ddf9b55f758dbcd1262718c
Publikováno v:
Computer Vision – ECCV 2018 ISBN: 9783030012458
ECCV (1)
ECCV (1)
Semantic segmentation has made much progress with increasingly powerful pixel-wise classifiers and incorporating structural priors via Conditional Random Fields (CRF) or Generative Adversarial Networks (GAN). We propose a simpler alternative that lea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50a515122ed3dfa0cc02d2fd86090ad8
https://doi.org/10.1007/978-3-030-01246-5_36
https://doi.org/10.1007/978-3-030-01246-5_36
Publikováno v:
CVPR
A first-person video can generate powerful physical sensations of action in an observer. In this paper, we focus on a problem of Force from Motion—decoding the sensation of 1) passive forces such as the gravity, 2) the physical scale of the motion
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1b665f5d2cdc1c06754a8b8db731e5c
https://doi.org/10.1109/cvpr.2016.416
https://doi.org/10.1109/cvpr.2016.416
Publikováno v:
CVPR
We presents a method for future localization: to predict plausible future trajectories of ego-motion in egocentric stereo images. Our paths avoid obstacles, move between objects, even turn around a corner into space behind objects. As a byproduct of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47b56f7072adcf1fde1b8a84dee5d637
https://doi.org/10.1109/cvpr.2016.508
https://doi.org/10.1109/cvpr.2016.508
Publikováno v:
ICCE-Berlin
We propose a multi-user face unlock system based on fast sparse coding approximation. Different approximation techniques of sparse coding are compared for real-time processing and recognition rate. The system is capable of online new user registratio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5bbbb9dcc92187c692a66f502986d276
https://doi.org/10.1109/icce-berlin.2012.6336497
https://doi.org/10.1109/icce-berlin.2012.6336497